
Hello, I'm happy to announce the of Numpy 1.8.1. This is a bugfix only release supporting Python 2.6 - 2.7 and 3.2 - 3.4. More than 48 issues have been fixed, the most important issues are listed in the release notes: https://github.com/numpy/numpy/blob/maintenance/1.8.x/doc/release/1.8.1-note... Compared to the last release candidate we have fixed a regression of the 1.8 series that prevented using some gufunc based linalg functions on larger matrices on 32 bit systems. This implied a few changes in the NDIter C-API which might expose insufficient checks for error conditions in third party applications. Please check the release notes for details. Source tarballs, windows installers and release notes can be found at https://sourceforge.net/projects/numpy/files/NumPy/1.8.1 Cheers, Julian Taylor

Hi, On Tue, Mar 25, 2014 at 4:38 PM, Julian Taylor <jtaylor.debian@googlemail.com> wrote:
Hello,
I'm happy to announce the of Numpy 1.8.1. This is a bugfix only release supporting Python 2.6 - 2.7 and 3.2 - 3.4.
More than 48 issues have been fixed, the most important issues are listed in the release notes: https://github.com/numpy/numpy/blob/maintenance/1.8.x/doc/release/1.8.1-note...
Compared to the last release candidate we have fixed a regression of the 1.8 series that prevented using some gufunc based linalg functions on larger matrices on 32 bit systems. This implied a few changes in the NDIter C-API which might expose insufficient checks for error conditions in third party applications. Please check the release notes for details.
Source tarballs, windows installers and release notes can be found at https://sourceforge.net/projects/numpy/files/NumPy/1.8.1
Thanks a lot for this. I've just posted OSX wheels for Pythons 2.7, 3.3, 3.4. It's a strange feeling doing this: $ pip install numpy Downloading/unpacking numpy Downloading numpy-1.8.1-cp27-none-macosx_10_6_intel.whl (3.6MB): 3.6MB downloaded Installing collected packages: numpy Successfully installed numpy Cleaning up... 5 seconds waiting on a home internet connection and a numpy install.... Nice. Cheers, Matthew

This is great! Has anyone started to work on OSX whl packages for scipy? I assume the libgfortran, libquadmath & libgcc_s dylibs will not make it as easy as for numpy. Would it be possible to use a static gcc toolchain as Carl Kleffner is using for his experimental windows whl packages? -- Olivier
participants (3)
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Julian Taylor
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Matthew Brett
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Olivier Grisel